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问如何使用python请求对过滤的结果进行web抓取？
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Stack Overflow用户

提问于 2020-06-18 20:08:39

回答 1查看 870关注 0票数 0

我试图从这个网站https://www.gurufocus.com/insider/summary的过滤结果。现在我只能从第一页得到信息。但我真正想做的是过滤几个行业并获取相关数据(您可以在过滤器区域看到“行业”)。但是当我选择这个行业时，网站URL不会改变，我也不能直接从URL中刮到。我看到一些人说你可以用requests.post来获取数据，但我真的不知道这是怎么回事。

这是我现在的一些密码。

TradeUrl = "https://www.gurufocus.com/insider/summary"
r = requests.get(TradeUrl)
data=r.content
soup=BeautifulSoup(data, 'html.parser')

ticker = []
for tk in soup.find_all('td',{'class': 'table-stock-info', 'data-column': 'Ticker'}):
    ticker.append(tk.text)

如果我只需要金融服务业的股票，我该怎么办？

beautifulsoup

python-requests

python

web-scraping

回答 1

Stack Overflow用户

回答已采纳

发布于 2020-06-18 22:08:45

按照建议使用post请求的问题是，请求需要一个授权令牌，该令牌有一个到期时间。您可以在Chrome或Firefox中看到post请求，如果您右键单击页面->，选择Inspect ->，选择Network，然后选择Industry，单击POST请求，然后单击Cookies，就会看到cookie password_grant_custom.client.expires，它的时间戳是授权何时停止工作。

但是，您可以使用selenium从所有页面中抓取数据。

首先安装Selenium：

`sudo pip3 install selenium` on Linux or `pip install selenium` on Windows

然后找到一个驱动程序https://sites.google.com/a/chromium.org/chromedriver/downloads，为您的Chrome版本找到合适的驱动程序，并从zip文件中提取它。

注意:在Windows上，您需要向chromedriver添加路径

driver = webdriver.Chrome(options=options)

在Linux上将色度驱动程序复制到/usr/local/bin/chromedriver上

from selenium import webdriver
from selenium.webdriver.common.by import By
import selenium.webdriver.support.expected_conditions as EC
from selenium.webdriver.support.ui import WebDriverWait
from selenium.common.exceptions import TimeoutException
from bs4 import BeautifulSoup
import time

# Start with the driver maximised to see the drop down menus properly
options = webdriver.ChromeOptions()
options.add_argument("--start-maximized")
driver = webdriver.Chrome(options=options)
driver.get('https://www.gurufocus.com/insider/summary')

# Set the page size to 100 to reduce page loads
driver.find_element_by_xpath("//span[contains(text(),'40 / Page')]").click()
wait = WebDriverWait(driver, 10).until(
    EC.presence_of_element_located((
        By.XPATH,
        "//div[contains(text(),'100')]"))
)
element = driver.find_element_by_xpath("//div[contains(text(),'100')]").click()

# Wait for the page to load and don't overload the server
time.sleep(2)

# select Industry
driver.find_element_by_xpath("//span[contains(text(),'Industry')]").click()

# Select Financial Services
element = WebDriverWait(driver, 5).until(
    EC.presence_of_element_located((
        By.XPATH,
        "//span[contains(text(),'Financial Services')]"))
)
element.click()

ticker = []

while True:
    # Wait for the page to load and don't overload the server
    time.sleep(6)
    # Parse the HTML
    soup = BeautifulSoup(driver.page_source, 'html.parser')
    for tk in soup.find_all('td', {'class': 'table-stock-info', 'data-column': 'Ticker'}):
        ticker.append(tk.text)
    try:
        # Move to the next page
        element = WebDriverWait(driver, 5).until(EC.element_to_be_clickable((By.CLASS_NAME, 'btn-next')))
        element.click()
    except TimeoutException as ex:
        # No more pages so break
        break
driver.quit()

print(len(ticker))
print(ticker)

输出

4604
['PUB   ', 'ARES   ', 'EIM   ', 'CZNC   ', 'SSB   ', 'CNA   ', 'TURN   ', 'FNF   ', 'EGIF   ', 'NWPP  etc...

更新

如果你想从所有的页面上抓取所有的数据并/或写到csv上，请使用熊猫：

from selenium import webdriver
from selenium.webdriver.common.by import By
import selenium.webdriver.support.expected_conditions as EC
from selenium.webdriver.support.ui import WebDriverWait
from selenium.common.exceptions import TimeoutException
import pandas as pd
import time

# Start with the driver maximised to see the drop down menus properly
options = webdriver.ChromeOptions()
options.add_argument("--start-maximized")
driver = webdriver.Chrome(options=options)
driver.get('https://www.gurufocus.com/insider/summary')

# Set the page size to 100 to reduce page loads
driver.find_element_by_xpath("//span[contains(text(),'40 / Page')]").click()
wait = WebDriverWait(driver, 10).until(
    EC.presence_of_element_located((
        By.XPATH,
        "//div[contains(text(),'100')]"))
)
driver.find_element_by_xpath("//div[contains(text(),'100')]").click()

# Wait for the page to load and don't overload the server
time.sleep(2)

# select Industry
driver.find_element_by_xpath("//span[contains(text(),'Industry')]").click()

# Select Financial Services
element = WebDriverWait(driver, 5).until(
    EC.presence_of_element_located((
        By.XPATH,
        "//span[contains(text(),'Financial Services')]"))
)
element.click()


columns = [
    'Ticker', 'Links', 'Company', 'Price1', 'Insider Name', 'Insider Position',
    'Date', 'Buy/Sell', 'Insider Trading Shares', 'Shares Change', 'Price2',
    'Cost(000)', 'Final Share', 'Price Change Since Insider Trade (%)',
    'Dividend Yield %', 'PE Ratio', 'Market Cap ($M)', 'None'
]
df = pd.DataFrame(columns=columns)


while True:
    # Wait for the page to load and don't overload the server
    time.sleep(6)
    # Parse the HTML
    df = df.append(pd.read_html(driver.page_source, attrs={'class': 'data-table'})[0], ignore_index=True)

    try:
        # Move to the next page
        element = WebDriverWait(driver, 5).until(EC.element_to_be_clickable((By.CLASS_NAME, 'btn-next')))
        element.click()
    except TimeoutException as ex:
        # No more pages so break
        break
driver.quit()

# Write to csv
df.to_csv("Financial_Services.csv", encoding='utf-8', index=False)

针对评论，进行了更新：首先从https://github.com/mozilla/geckodriver/releases下载Firefox，提取驱动程序。同样，在Windows上，您需要将路径添加到driver = webdriver.Firefox()或linux上将geckodriver复制到/usr/local/bin/geckodriver。

from selenium import webdriver
from selenium.webdriver.common.by import By
import selenium.webdriver.support.expected_conditions as EC
from selenium.webdriver.support.ui import WebDriverWait
from selenium.common.exceptions import TimeoutException
import pandas as pd
import time

# Start with the driver maximised to see the drop down menus properly
driver = webdriver.Firefox()
driver.maximize_window()
driver.get('https://www.gurufocus.com/insider/summary')

# Set the page size to 100 to reduce page loads
driver.find_element_by_xpath("//span[contains(text(),'40 / Page')]").click()
wait = WebDriverWait(driver, 10).until(
    EC.presence_of_element_located((
        By.XPATH,
        "//div[contains(text(),'100')]"))
)
driver.find_element_by_xpath("//div[contains(text(),'100')]").click()

# Wait for the page to load and don't overload the server
time.sleep(2)

# select Industry
driver.find_element_by_xpath("//span[contains(text(),'Industry')]").click()

# Select Financial Services
element = WebDriverWait(driver, 5).until(
    EC.presence_of_element_located((
        By.XPATH,
        "//span[contains(text(),'Financial Services')]"))
)
element.click()

columns = [
    'Ticker', 'Links', 'Company', 'Price1', 'Insider Name', 'Insider Position',
    'Date', 'Buy/Sell', 'Insider Trading Shares', 'Shares Change', 'Price2',
    'Cost(000)', 'Final Share', 'Price Change Since Insider Trade (%)',
    'Dividend Yield %', 'PE Ratio', 'Market Cap ($M)', 'None'
]
df = pd.DataFrame(columns=columns)
page_limit = 5
page = 0

while True:
    # Wait for the page to load and don't overload the server
    time.sleep(6)
    # Parse the HTML
    df = df.append(pd.read_html(driver.page_source, attrs={'class': 'data-table'})[0], ignore_index=True)

    # Stop after page limit is reached.
    page = page + 1
    if page >= page_limit:
        break

    try:
        # Move to the next page
        element = WebDriverWait(driver, 5).until(EC.element_to_be_clickable((By.CLASS_NAME, 'btn-next')))
        element.click()
    except TimeoutException as ex:
        # No more pages so break
        break

driver.quit()

# Write to csv
df.to_csv("Financial_Services.csv", encoding='utf-8', index=False)

票数 0

页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持

原文链接：

https://stackoverflow.com/questions/62458558

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